Practical over theoretical
We teach what works in real jobs. If a concept does not change how you work on Monday, it does not make the syllabus.
About KIDLIN
Making AI practical for everyone.
KIDLIN School of AI was built for the gap between AI hype and AI capability — the distance between watching a demo and shipping something that works.
Our story
Why we exist
Most people have used an AI tool. Far fewer know how to build with one. The internet is saturated with courses that explain what AI is, and almost none that sit beside you while you make something real.
KIDLIN was founded by practitioners who spend their working lives designing, training and deploying AI systems. We teach the same way we work: pick a real problem, choose the right tool, build the thing, then test whether it holds up.
That is what we mean by making ai practical for everyone — practical AI capability, accessible to professionals, engineers, students and entire organisations.
20+
Years of combined AI practice across faculty
16–20
Learners per cohort, deliberately capped
100%
Live, instructor-led sessions
6–12
Weeks from first session to shipped project
Principles
How we teach
Four commitments shape every KIDLIN cohort.
Live over recorded
Learning AI is a conversation. Live sessions let you ask the awkward question at the exact moment it matters.
Small over scalable
We cap cohorts on purpose. Faculty should know your context well enough to give advice that actually applies.
Built over watched
Every learner ships something. A working project is the only proof of understanding we trust.
Faculty
The people who teach here
Practitioners who build AI systems in industry and bring that work into the classroom.
SS
Sarthak Srivastava
Founder & CEO, VANCO.AI
Former AI Engineer at NVIDIA and Virginia Tech faculty member, specialising in AI, cloud computing and enterprise AI deployment.
RS
Rishi Shukla
Lead AI Engineer & Co-founder
MBA and AI educator specialising in generative AI, AI agents, automation and practical AI implementation for professionals and businesses.
MS
Mayank Singhal
System Software Engineer, NVIDIA
IIT graduate with expertise in AI, data science, cloud infrastructure and large-scale software systems.
What sets us apart
The KIDLIN difference
Live Learning
Every session is taught live by a practitioner. You ask questions in the moment and never learn alone.
Hands-On Projects
You build in the room. Each week ends with something working that you made yourself.
Small Cohorts
Cohorts are deliberately capped so faculty know your work, your context and your goals.
Practitioner Faculty
Our faculty ship AI systems for a living — at NVIDIA, in startups and inside enterprises.
Real Implementation
We measure success by what you deploy at work, not by how many lessons you completed.
Learner stories
In their words
What stood out was how hands-on it was. Instead of just talking about AI, we actually built things and saw how the tools work in real situations. I walked away with ideas that save me hours every week.
Gita D.
Working Professional
I have watched dozens of AI videos online, but this was the first time I actually understood how to use AI in my day-to-day work. I left with tools and workflows I could apply immediately.
Tejass V.
Product Manager
As a student, I knew AI mattered but I did not know where to start. KIDLIN gave me a clear roadmap and the confidence to build with modern AI tools.
David G.
Student
Join us
Learn AI the way it is actually practised.
Start with a free live workshop, or apply directly to the cohort that fits your goals.
No commitment. Just 90 minutes.